Abstract
This article is devoted to the development of a mathematical model for forecasting the dynamics of monetary aggregates M0–M3. The relevance of this topic is due to the demand for monetary aggregates as one of the key indicators for the purposes of substantiating the monetary policy of the Bank of Russia. Based on the forecasts of these macroeconomic indicators, the issues of interest rates, inflation and lending volume regulation are solved. The research use such methods as the method of comparison, relative and average values, graphical and tabular presentation of data, grouping, method of correlation and regression analysis, etc. Modeling based on the apparatus of neural networks was also used to build a forecast of the dynamics of monetary aggregates. Scientific novelty of the work lies in the fact that the unique models of forecasting the dynamics of monetary aggregates were built, as well as the forecast of key indicators for the last quarter of 2023. The practical significance of this study lies in the possibility of applying the best of the developed multifactor models, as well as models using ANN, for further forecasting of liquidity indicators.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
